E-commerce
Acquisition is the expensive half. Most stores only run that half.
An online store that converts a little better and sells to the same person twice is a different business from one that does not — on identical traffic and identical spend.
How the business actually runs
Before any software is discussed.
Paid and organic traffic lands on product pages. Some visitors add to cart; most leave. A portion check out. After dispatch, the relationship usually ends: the brand knows the order but not the person, and the next sale costs full price to acquire all over again.
- Online stores
- direct-to-consumer brands
- marketplace and wholesale sellers
Where the money leaks
Four leaks we see in almost every one of these businesses.
Not generic inefficiency — the specific places where revenue, margin or time escapes a e-commerce business.
- 01
Checkout friction nobody measured
Every unnecessary field, slow step and surprise at the final screen is paid-for traffic leaving at the last moment. Most stores have never watched the sequence end to end.
- 02
The cart that was never recovered
Abandonment is normal; abandoning the abandoners is a choice. A timely, useful sequence recovers a share of sales the spend has already paid for.
- 03
No post-purchase life
Delivery confirmation is not a relationship. Without a reason to return — replenishment, a complementary product, a membership — lifetime value stays at one order.
- 04
Margin invisible by product
Revenue by SKU is easy; contribution after cost of goods, shipping, returns and acquisition is the number that decides what to promote, and few stores have it.
The system
One connected flow, end to end.
Each stage feeds the next, and every stage is measurable. This is the shape of what we would build — the detail is decided with you.
- 01 Traffic
- 02 Product experience
- 03 Checkout
- 04 Order
- 05 Post-purchase
- 06 Repeat
- High-performance storefront
- Checkout and payment optimisation
- Lifecycle and recovery messaging
- Loyalty and subscription mechanics
- Inventory and fulfilment integration
- Contribution-margin reporting
- Visit-to-order conversion rate
- Average order value
- Repeat purchase rate within 90 days
- Contribution margin by product line
A worked example
Illustrative, with the assumptions stated.
Assume
- Say a store takes 40,000 sessions a month at a 1.6% conversion rate
- Around seven in ten carts are abandoned
- Fewer than one in five customers orders a second time within a year
What changes
- The checkout sequence is rebuilt around the steps that actually lose people
- Recovery messaging runs on behaviour, not a single generic reminder
- Post-purchase flows give a reason to return that matches what was bought
- Reporting shows contribution after acquisition and returns, so promotion follows margin
Assumptions, not promises. Your own analytics replace every figure above before we design anything — and sometimes the finding is that traffic quality, not the store, is the constraint.
Is this you?
Worth a conversation if any of these are true.
And worth saying plainly when they are not.
- You are buying traffic and conversion has not moved in a year
- Abandoned carts get one reminder, or none
- Nobody can say which products actually make money after costs
- Repeat purchase is not something you manage
If you are doing a few hundred orders a month and your product has not found its market yet, a replatform is an expensive way to avoid a positioning problem.
Further reading and other industries
Tell us how the business runs today.
We will map where the revenue leaks, show you the system that closes it, and say plainly if the numbers do not justify building anything.
Start a Project